Farhadi, Ali

125 publications

ICCV 2025 Contrastive Flow Matching George Stoica, Vivek Ramanujan, Xiang Fan, Ali Farhadi, Ranjay Krishna, Judy Hoffman

NeurIPS 2025 Convergent Functions, Divergent Forms Hyeonseong Jeon, Ainaz Eftekhar, Aaron Walsman, Kuo-Hao Zeng, Ali Farhadi, Ranjay Krishna

CVPR 2025 DRAWER: Digital Reconstruction and Articulation with Environment Realism Hongchi Xia, Entong Su, Marius Memmel, Arhan Jain, Raymond Yu, Numfor Mbiziwo-Tiapo, Ali Farhadi, Abhishek Gupta, Shenlong Wang, Wei-Chiu Ma

CVPR 2025 Eval3D: Interpretable and Fine-Grained Evaluation for 3D Generation Shivam Duggal, Yushi Hu, Oscar Michel, Aniruddha Kembhavi, William T. Freeman, Noah A. Smith, Ranjay Krishna, Antonio Torralba, Ali Farhadi, Wei-Chiu Ma

NeurIPS 2025 FlexOLMo: Open Language Models for Flexible Data Use Weijia Shi, Akshita Bhagia, Kevin Farhat, Niklas Muennighoff, Jacob Morrison, Evan Pete Walsh, Dustin Schwenk, Shayne Longpre, Jake Poznanski, Allyson Ettinger, Daogao Liu, Margaret Li, Mike Lewis, Wen-tau Yih, Dirk Groeneveld, Luca Soldaini, Kyle Lo, Noah A. Smith, Luke Zettlemoyer, Pang Wei Koh, Hannaneh Hajishirzi, Ali Farhadi, Sewon Min

CVPR 2025 Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, YenSung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross Girshick, Ali Farhadi, Aniruddha Kembhavi

ICLR 2025 OLMoE: Open Mixture-of-Experts Language Models Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Jacob Morrison, Sewon Min, Weijia Shi, Evan Pete Walsh, Oyvind Tafjord, Nathan Lambert, Yuling Gu, Shane Arora, Akshita Bhagia, Dustin Schwenk, David Wadden, Alexander Wettig, Binyuan Hui, Tim Dettmers, Douwe Kiela, Ali Farhadi, Noah A. Smith, Pang Wei Koh, Amanpreet Singh, Hannaneh Hajishirzi

CVPR 2025 Synthetic Visual Genome Jae Sung Park, Zixian Ma, Linjie Li, Chenhao Zheng, Cheng-Yu Hsieh, Ximing Lu, Khyathi Chandu, Quan Kong, Norimasa Kobori, Ali Farhadi, Yejin Choi, Ranjay Krishna

NeurIPS 2025 When Worse Is Better: Navigating the Compression Generation Trade-Off in Visual Tokenization Vivek Ramanujan, Kushal Tirumala, Armen Aghajanyan, Luke Zettlemoyer, Ali Farhadi

NeurIPS 2024 ActionAtlas: A VideoQA Benchmark for Domain-Specialized Action Recognition Mohammadreza Salehi, Jae Sung Park, Tanush Yadav, Aditya Kusupati, Ranjay Krishna, Yejin Choi, Hannaneh Hajishirzi, Ali Farhadi

TMLR 2024 Bytes Are All You Need: Transformers Operating Directly on File Bytes Maxwell Horton, Sachin Mehta, Ali Farhadi, Mohammad Rastegari

TMLR 2024 CLIP Meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta

NeurIPS 2024 From an Image to a Scene: Learning to Imagine the World from a Million 360° Videos Matthew Wallingford, Anand Bhattad, Aditya Kusupati, Vivek Ramanujan, Matt Deitke, Sham Kakade, Aniruddha Kembhavi, Roozbeh Mottaghi, Wei-Chiu Ma, Ali Farhadi

ECCV 2024 Learning to Build by Building Your Own Instructions Aaron T Walsman, Muru Zhang, Adam Fishman, Ali Farhadi, Dieter Fox

NeurIPS 2024 MatFormer: Nested Transformer for Elastic Inference Devvrit, Sneha Kudugunta, Aditya Kusupati, Tim Dettmers, Kaifeng Chen, Inderjit Dhillon, Yulia Tsvetkov, Hannaneh Hajishirzi, Sham Kakade, Ali Farhadi, Prateek Jain

ICLR 2024 Selective Visual Representations Improve Convergence and Generalization for Embodied AI Ainaz Eftekhar, Kuo-Hao Zeng, Jiafei Duan, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna

NeurIPS 2024 Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass Ethan Shen, Alan Fan, Sarah Pratt, Jae Sung Park, Matthew Wallingford, Sham Kakade, Ari Holtzman, Ranjay Krishna, Ali Farhadi, Aditya Kusupati

NeurIPS 2024 Task Me Anything Jieyu Zhang, Weikai Huang, Zixian Ma, Oscar Michel, Dong He, Tanmay Gupta, Wei-Chiu Ma, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna

NeurIPSW 2024 Taskverse: A Benchmark Generation Engine for Multi-Modal Language Model Jieyu Zhang, Weikai Huang, Zixian Ma, Oscar Michel, Dong He, Tanmay Gupta, Wei-Chiu Ma, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna

NeurIPS 2023 AdANNS: A Framework for Adaptive Semantic Search Aniket Rege, Aditya Kusupati, Sharan Ranjit S, Alan Fan, Qingqing Cao, Sham Kakade, Prateek Jain, Ali Farhadi

NeurIPSW 2023 Are “Hierarchical” Visual Representations Hierarchical? Ethan Shen, Ali Farhadi, Aditya Kusupati

NeurIPSW 2023 CLIP Meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta

NeurIPS 2023 DataComp: In Search of the Next Generation of Multimodal Datasets Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei W Koh, Olga Saukh, Alexander J Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt

ICLR 2023 Editing Models with Task Arithmetic Gabriel Ilharco, Marco Tulio Ribeiro, Mitchell Wortsman, Ludwig Schmidt, Hannaneh Hajishirzi, Ali Farhadi

TMLR 2023 FLUID: A Unified Evaluation Framework for Flexible Sequential Data Matthew Wallingford, Aditya Kusupati, Keivan Alizadeh-Vahid, Aaron Walsman, Aniruddha Kembhavi, Ali Farhadi

ICLR 2023 FastFill: Efficient Compatible Model Update Florian Jaeckle, Fartash Faghri, Ali Farhadi, Oncel Tuzel, Hadi Pouransari

ICLR 2023 Impossibly Good Experts and How to Follow Them Aaron Walsman, Muru Zhang, Sanjiban Choudhury, Dieter Fox, Ali Farhadi

WACV 2023 LCS: Learning Compressible Subspaces for Efficient, Adaptive, Real-Time Network Compression at Inference Time Elvis Nunez, Maxwell Horton, Anish Prabhu, Anurag Ranjan, Ali Farhadi, Mohammad Rastegari

TMLR 2023 Lo-Fi: Distributed Fine-Tuning Without Communication Mitchell Wortsman, Suchin Gururangan, Shen Li, Ali Farhadi, Ludwig Schmidt, Michael Rabbat, Ari S. Morcos

NeurIPS 2023 Localized Symbolic Knowledge Distillation for Visual Commonsense Models Jae Sung Park, Jack Hessel, Khyathi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi

NeurIPSW 2023 MatFormer: Nested Transformer for Elastic Inference Fnu Devvrit, Sneha Kudugunta, Aditya Kusupati, Tim Dettmers, Kaifeng Chen, Inderjit S Dhillon, Yulia Tsvetkov, Hannaneh Hajishirzi, Sham M. Kakade, Ali Farhadi, Prateek Jain

ICLR 2023 Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics Kuo-Hao Zeng, Luca Weihs, Roozbeh Mottaghi, Ali Farhadi

NeurIPS 2023 Neural Priming for Sample-Efficient Adaptation Matthew Wallingford, Vivek Ramanujan, Alex Fang, Aditya Kusupati, Roozbeh Mottaghi, Aniruddha Kembhavi, Ludwig Schmidt, Ali Farhadi

ICLR 2023 Neural Radiance Field Codebooks Matthew Wallingford, Aditya Kusupati, Alex Fang, Vivek Ramanujan, Aniruddha Kembhavi, Roozbeh Mottaghi, Ali Farhadi

NeurIPS 2023 Objaverse-XL: A Universe of 10m+ 3D Objects Matt Deitke, Ruoshi Liu, Matthew Wallingford, Huong Ngo, Oscar Michel, Aditya Kusupati, Alan Fan, Christian Laforte, Vikram Voleti, Samir Yitzhak Gadre, Eli VanderBilt, Aniruddha Kembhavi, Carl Vondrick, Georgia Gkioxari, Kiana Ehsani, Ludwig Schmidt, Ali Farhadi

CVPR 2023 Objaverse: A Universe of Annotated 3D Objects Matt Deitke, Dustin Schwenk, Jordi Salvador, Luca Weihs, Oscar Michel, Eli VanderBilt, Ludwig Schmidt, Kiana Ehsani, Aniruddha Kembhavi, Ali Farhadi

NeurIPS 2023 On the Connection Between Pre-Training Data Diversity and Fine-Tuning Robustness Vivek Ramanujan, Thao Nguyen, Sewoong Oh, Ali Farhadi, Ludwig Schmidt

CVPR 2023 Phone2Proc: Bringing Robust Robots into Our Chaotic World Matt Deitke, Rose Hendrix, Ali Farhadi, Kiana Ehsani, Aniruddha Kembhavi

ICCV 2023 Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement Fartash Faghri, Hadi Pouransari, Sachin Mehta, Mehrdad Farajtabar, Ali Farhadi, Mohammad Rastegari, Oncel Tuzel

NeurIPS 2023 Stable and Low-Precision Training for Large-Scale Vision-Language Models Mitchell Wortsman, Tim Dettmers, Luke Zettlemoyer, Ari Morcos, Ali Farhadi, Ludwig Schmidt

ICCV 2023 What Does a Platypus Look like? Generating Customized Prompts for Zero-Shot Image Classification Sarah Pratt, Ian Covert, Rosanne Liu, Ali Farhadi

ECCV 2022 Break and Make: Interactive Structural Understanding Using LEGO Bricks Aaron Walsman, Muru Zhang, Klemen Kotar, Karthik Desingh, Ali Farhadi, Dieter Fox

CVPR 2022 Forward Compatible Training for Large-Scale Embedding Retrieval Systems Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi, Oncel Tuzel, Hadi Pouransari

CVPR 2022 MERLOT Reserve: Neural Script Knowledge Through Vision and Language and Sound Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi

NeurIPS 2022 Matryoshka Representation Learning Aditya Kusupati, Gantavya Bhatt, Aniket Rege, Matthew Wallingford, Aditya Sinha, Vivek Ramanujan, William Howard-Snyder, Kaifeng Chen, Sham Kakade, Prateek Jain, Ali Farhadi

ICML 2022 Model Soups: Averaging Weights of Multiple Fine-Tuned Models Improves Accuracy Without Increasing Inference Time Mitchell Wortsman, Gabriel Ilharco, Samir Ya Gadre, Rebecca Roelofs, Raphael Gontijo-Lopes, Ari S Morcos, Hongseok Namkoong, Ali Farhadi, Yair Carmon, Simon Kornblith, Ludwig Schmidt

ECCV 2022 Object Manipulation via Visual Target Localization Kiana Ehsani, Ali Farhadi, Aniruddha Kembhavi, Roozbeh Mottaghi

ICMLW 2022 On the Connection Between Pre-Training Data Diversity and Robustness Vivek Ramanujan, Thao Nguyen, Ludwig Schmidt, Ali Farhadi

NeurIPS 2022 Patching Open-Vocabulary Models by Interpolating Weights Gabriel Ilharco, Mitchell Wortsman, Samir Yitzhak Gadre, Shuran Song, Hannaneh Hajishirzi, Simon Kornblith, Ali Farhadi, Ludwig Schmidt

CVPR 2022 Robust Fine-Tuning of Zero-Shot Models Mitchell Wortsman, Gabriel Ilharco, Jong Wook Kim, Mike Li, Simon Kornblith, Rebecca Roelofs, Raphael Gontijo Lopes, Hannaneh Hajishirzi, Ali Farhadi, Hongseok Namkoong, Ludwig Schmidt

NeurIPS 2021 LLC: Accurate, Multi-Purpose Learnt Low-Dimensional Binary Codes Aditya Kusupati, Matthew Wallingford, Vivek Ramanujan, Raghav Somani, Jae Sung Park, Krishna Pillutla, Prateek Jain, Sham Kakade, Ali Farhadi

CoRL 2021 LanguageRefer: Spatial-Language Model for 3D Visual Grounding Junha Roh, Karthik Desingh, Ali Farhadi, Dieter Fox

ICLR 2021 Learning Generalizable Visual Representations via Interactive Gameplay Luca Weihs, Aniruddha Kembhavi, Kiana Ehsani, Sarah M Pratt, Winson Han, Alvaro Herrasti, Eric Kolve, Dustin Schwenk, Roozbeh Mottaghi, Ali Farhadi

ICML 2021 Learning Neural Network Subspaces Mitchell Wortsman, Maxwell C Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari

NeurIPS 2021 MERLOT: Multimodal Neural Script Knowledge Models Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi

CVPR 2021 Pushing It Out of the Way: Interactive Visual Navigation Kuo-Hao Zeng, Luca Weihs, Ali Farhadi, Roozbeh Mottaghi

NeurIPSW 2021 Robust Fine-Tuning of Zero-Shot Models Mitchell Wortsman, Gabriel Ilharco, Jong Wook Kim, Mike Li, Simon Kornblith, Rebecca Roelofs, Raphael Gontijo-Lopes, Hanna Hajishirzi, Ali Farhadi, Hongseok Namkoong, Ludwig Schmidt

ICLR 2021 What Can You Learn from Your Muscles? Learning Visual Representation from Human Interactions Kiana Ehsani, Daniel Gordon, Thomas Hai Dang Nguyen, Roozbeh Mottaghi, Ali Farhadi

ECCV 2020 A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks Unnat Jain, Luca Weihs, Eric Kolve, Ali Farhadi, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander Schwing

ECCV 2020 Grounded Situation Recognition Sarah Pratt, Mark Yatskar, Luca Weihs, Ali Farhadi, Aniruddha Kembhavi

ICML 2020 Soft Threshold Weight Reparameterization for Learnable Sparsity Aditya Kusupati, Vivek Ramanujan, Raghav Somani, Mitchell Wortsman, Prateek Jain, Sham Kakade, Ali Farhadi

NeurIPS 2020 Supermasks in Superposition Mitchell Wortsman, Vivek Ramanujan, Rosanne Liu, Aniruddha Kembhavi, Mohammad Rastegari, Jason Yosinski, Ali Farhadi

ECCV 2020 VisualCOMET: Reasoning About the Dynamic Context of a Still Image Jae Sung Park, Chandra Bhagavatula, Roozbeh Mottaghi, Ali Farhadi, Yejin Choi

CoRL 2019 Conditional Driving from Natural Language Instructions Junha Roh, Chris Paxton, Andrzej Pronobis, Ali Farhadi, Dieter Fox

NeurIPS 2019 Defending Against Neural Fake News Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, Yejin Choi

NeurIPS 2019 Discovering Neural Wirings Mitchell Wortsman, Ali Farhadi, Mohammad Rastegari

ICLR 2019 Visual Semantic Navigation Using Scene Priors Wei Yang, Xiaolong Wang, Ali Farhadi, Abhinav Gupta, Roozbeh Mottaghi

AAAI 2018 AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video Nancy Xin Ru Wang, Ali Farhadi, Rajesh P. N. Rao, Bingni W. Brunton

ECCV 2018 DOCK: Detecting Objects by Transferring Common-Sense Knowledge Krishna Kumar Singh, Santosh Divvala, Ali Farhadi, Yong Jae Lee

ECCV 2018 Imagine This! Scripts to Compositions to Videos Tanmay Gupta, Dustin Schwenk, Ali Farhadi, Derek Hoiem, Aniruddha Kembhavi

ICLR 2018 Neural Speed Reading via Skim-RNN Minjoon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi

CVPR 2017 Are You Smarter than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension Aniruddha Kembhavi, Minjoon Seo, Dustin Schwenk, Jonghyun Choi, Ali Farhadi, Hannaneh Hajishirzi

CVPR 2017 Asynchronous Temporal Fields for Action Recognition Gunnar A. Sigurdsson, Santosh Divvala, Ali Farhadi, Abhinav Gupta

ICLR 2017 Bidirectional Attention Flow for Machine Comprehension Min Joon Seo, Aniruddha Kembhavi, Ali Farhadi, Hannaneh Hajishirzi

CVPR 2017 Commonly Uncommon: Semantic Sparsity in Situation Recognition Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer, Ali Farhadi

CVPR 2017 LCNN: Lookup-Based Convolutional Neural Network Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi

ICLR 2017 Query-Reduction Networks for Question Answering Min Joon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi

ICCV 2017 See the Glass Half Full: Reasoning About Liquid Containers, Their Volume and Content Roozbeh Mottaghi, Connor Schenck, Dieter Fox, Ali Farhadi

ICCV 2017 Visual Semantic Planning Using Deep Successor Representations Yuke Zhu, Daniel Gordon, Eric Kolve, Dieter Fox, Li Fei-Fei, Abhinav Gupta, Roozbeh Mottaghi, Ali Farhadi

CVPR 2017 YOLO9000: Better, Faster, Stronger Joseph Redmon, Ali Farhadi

ECCV 2016 "What Happens If..." Learning to Predict the Effect of Forces in Images Roozbeh Mottaghi, Mohammad Rastegari, Abhinav Gupta, Ali Farhadi

ECCV 2016 A Diagram Is Worth a Dozen Images Aniruddha Kembhavi, Mike Salvato, Eric Kolve, Min Joon Seo, Hannaneh Hajishirzi, Ali Farhadi

CVPR 2016 A Task-Oriented Approach for Cost-Sensitive Recognition Roozbeh Mottaghi, Hannaneh Hajishirzi, Ali Farhadi

CVPR 2016 Actions ~ Transformations Xiaolong Wang, Ali Farhadi, Abhinav Gupta

AAAI 2016 Are Elephants Bigger than Butterflies? Reasoning About Sizes of Objects Hessam Bagherinezhad, Hannaneh Hajishirzi, Yejin Choi, Ali Farhadi

ECCV 2016 Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks Junyuan Xie, Ross B. Girshick, Ali Farhadi

ECCV 2016 FigureSeer: Parsing Result-Figures in Research Papers Noah Siegel, Zachary Horvitz, Roie Levin, Santosh Kumar Divvala, Ali Farhadi

ECCV 2016 Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding Gunnar A. Sigurdsson, Gül Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, Abhinav Gupta

CVPR 2016 Newtonian Scene Understanding: Unfolding the Dynamics of Objects in Static Images Roozbeh Mottaghi, Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi

CVPR 2016 Situation Recognition: Visual Semantic Role Labeling for Image Understanding Mark Yatskar, Luke Zettlemoyer, Ali Farhadi

AAAI 2016 Toward a Taxonomy and Computational Models of Abnormalities in Images Babak Saleh, Ahmed M. Elgammal, Jacob Feldman, Ali Farhadi

ICML 2016 Unsupervised Deep Embedding for Clustering Analysis Junyuan Xie, Ross Girshick, Ali Farhadi

ECCV 2016 XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi

CVPR 2016 You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon, Santosh Divvala, Ross Girshick, Ali Farhadi

CVPR 2015 Discriminative and Consistent Similarities in Instance-Level Multiple Instance Learning Mohammad Rastegari, Hannaneh Hajishirzi, Ali Farhadi

ICCV 2015 Generating Notifications for Missing Actions: Don't Forget to Turn the Lights Off! Bilge Soran, Ali Farhadi, Linda Shapiro

WACV 2015 Learning to Select and Order Vacation Photographs Fereshteh Sadeghi, J. Rafael Tena, Ali Farhadi, Leonid Sigal

ICCV 2015 Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing Hamid Izadinia, Fereshteh Sadeghi, Santosh K. Divvala, Hannaneh Hajishirzi, Yejin Choi, Ali Farhadi

CVPR 2015 VisKE: Visual Knowledge Extraction and Question Answering by Visual Verification of Relation Phrases Fereshteh Sadeghi, Santosh K. Kumar Divvala, Ali Farhadi

NeurIPS 2015 Visalogy: Answering Visual Analogy Questions Fereshteh Sadeghi, C. Lawrence Zitnick, Ali Farhadi

AAAI 2014 Diagram Understanding in Geometry Questions Min Joon Seo, Hannaneh Hajishirzi, Ali Farhadi, Oren Etzioni

CVPR 2014 Incorporating Scene Context and Object Layout into Appearance Modeling Hamid Izadinia, Fereshteh Sadeghi, Ali Farhadi

CVPR 2014 Learning Everything About Anything: Webly-Supervised Visual Concept Learning Santosh K. Divvala, Ali Farhadi, Carlos Guestrin

CVPR 2014 Predicting Failures of Vision Systems Peng Zhang, Jiuling Wang, Ali Farhadi, Martial Hebert, Devi Parikh

ECCV 2014 Ranking Domain-Specific Highlights by Analyzing Edited Videos Min Sun, Ali Farhadi, Steven M. Seitz

ECCV 2014 Salient Montages from Unconstrained Videos Min Sun, Ali Farhadi, Ben Taskar, Steven M. Seitz

ECCV 2014 Towards Transparent Systems: Semantic Characterization of Failure Modes Aayush Bansal, Ali Farhadi, Devi Parikh

CVPR 2013 Adding Unlabeled Samples to Categories by Learned Attributes Jonghyun Choi, Mohammad Rastegari, Ali Farhadi, Larry S. Davis

CVPR 2013 Multi-Attribute Queries: To Merge or Not to Merge? Mohammad Rastegari, Ali Diba, Devi Parikh, Ali Farhadi

CVPR 2013 Object-Centric Anomaly Detection by Attribute-Based Reasoning Babak Saleh, Ali Farhadi, Ahmed Elgammal

ECCV 2012 Attribute Discovery via Predictable Discriminative Binary Codes Mohammad Rastegari, Ali Farhadi, David A. Forsyth

CVPR 2012 Building a Dictionary of Image Fragments Zicheng Liao, Ali Farhadi, Yang Wang, Ian Endres, David A. Forsyth

UAI 2012 Semantic Understanding of Professional Soccer Commentaries Hannaneh Hajishirzi, Mohammad Rastegari, Ali Farhadi, Jessica K. Hodgins

CVPR 2011 Recognition Using Visual Phrases Mohammad Amin Sadeghi, Ali Farhadi

ICCV 2011 Understanding Egocentric Activities Alireza Fathi, Ali Farhadi, James M. Rehg

CVPR 2010 Attribute-Centric Recognition for Cross-Category Generalization Ali Farhadi, Ian Endres, Derek Hoiem

ECCV 2010 Every Picture Tells a Story: Generating Sentences from Images Ali Farhadi, Seyyed Mohammad Mohsen Hejrati, Mohammad Amin Sadeghi, Peter Young, Cyrus Rashtchian, Julia Hockenmaier, David A. Forsyth

CVPRW 2010 The Benefits and Challenges of Collecting Richer Object Annotations Ian Endres, Ali Farhadi, Derek Hoiem, David A. Forsyth

ICCV 2009 A Latent Model of Discriminative Aspect Ali Farhadi, Mostafa Kamali Tabrizi, Ian Endres, David A. Forsyth

CVPR 2009 Describing Objects by Their Attributes Ali Farhadi, Ian Endres, Derek Hoiem, David A. Forsyth

ICCV 2009 Unlabeled Data Improvesword Prediction Nicolas Loeff, Ali Farhadi, Ian Endres, David A. Forsyth

ECCV 2008 Learning to Recognize Activities from the Wrong View Point Ali Farhadi, Mostafa Kamali Tabrizi

ECCV 2008 Scene Discovery by Matrix Factorization Nicolas Loeff, Ali Farhadi

CVPR 2007 Transfer Learning in Sign Language Ali Farhadi, David A. Forsyth, Ryan White

CVPR 2006 Aligning ASL for Statistical Translation Using a Discriminative Word Model Ali Farhadi, David A. Forsyth